Gradient-Discrepancy Acquisition for Pool-Based Active Learning

ArXi:2605.02609v1 Announce Type: new The effectiveness of active learning hinges on the choice of the acquisition criterion by which a learning algorithm selects potentially informative data points whose label is subsequently queried. This paper proposes a novel gradient-based acquisition criterion, derived from a generalization bound